| Mitigating hallucinations in large vision-language models with instruction contrastive decoding X Wang, J Pan, L Ding, C Biemann arXiv preprint arXiv:2403.18715, 2024 | 152 | 2024 |
| Cogsteer: Cognition-inspired selective layer intervention for efficiently steering large language models X Wang, J Pan, L Ding, L Wang, L Jiang, X Li, C Biemann Findings of the Association for Computational Linguistics: ACL 2025, 25507-25522, 2025 | 7 | 2025 |
| Rethinking Multilingual Vision-Language Translation: Dataset, Evaluation, and Adaptation X Wang, J Pan, Y Liu, X Zhao, C Lyu, M Wu, C Biemann, L Wang, L Xu, ... arXiv preprint arXiv:2506.11820, 2025 | | 2025 |
| Chinese Toxic Language Mitigation via Sentiment Polarity Consistent Rewrites X Wang, Y Liu, J Pan, L Ding, L Wang, C Biemann arXiv preprint arXiv:2505.15297, 2025 | | 2025 |
| CogSteer: Cognition-Inspired Selective Layer Intervention for Efficient Semantic Steering in Large Language Models X Wang, J Pan, L Jiang, L Ding, X Li, C Biemann arXiv e-prints, arXiv: 2410.17714, 2024 | | 2024 |
| RETHINKING PEFT IN LLMS: OPTIMAL LAYER FINE-TUNING FOR EFFICIENT ADAPTATION–AN EMPIRI-CAL STUDY ON NLU TASKS J Pan | | |
Chris BiemannProfessor for Language Technology, University of HamburgVerified email at informatik.uni-hamburg.de
